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Remote Analytics Engineer Jobs in Louisiana (NOW HIRING)

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$115K - $150K/yr

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Remote Analytics Engineer information

See Louisiana salary details

$38.9K

$79.7K

$115.9K

How much do remote analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote analytics engineer in Louisiana is $79,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What are the most commonly searched types of Analytics Engineer jobs in Louisiana?

The most popular types of Analytics Engineer jobs in Louisiana are:

What job categories do people searching Remote Analytics Engineer jobs in Louisiana look for?

The top searched job categories for Remote Analytics Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Analytics Engineer jobs?

Cities in Louisiana with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Louisiana as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $79,680 per year, or $38.3 per hour.

Senior Manager Analytics & Decision Systems

Raceland, LA • Remote

Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees

Full-time

Re-posted 4 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title: Senior Manager Analytics & Decision Systems

Location: Remote USA

Position Overview: The Senior Manager Analytics & Decision Systems is responsible for establishing enterprise analytics capabilities that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards. This role leads the strategy, governance, and delivery of enterprise reporting, KPI frameworks, dashboards, and self-service analytics capabilities.

This leader partners closely with IT and business leadership to ensure analytics are aligned to strategic priorities, operational workflows, and enterprise performance management.

Key Responsibilities:

  • ·         Define and lead the enterprise analytics and reporting strategy
  • ·         Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development
  • ·         Lead delivery and ongoing enhancement of enterprise executive dashboards and decision-support tools
  • ·         Oversee development of Power BI dashboards, semantic models, and self-service reporting capabilities
  • ·         Ensure consistency, accuracy, and alignment of operational and financial reporting across the enterprise
  • ·         Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, and accessible data
  • ·         Drive adoption of analytics tools and data-driven decision-making practices across the organization
  • ·         Establish reporting governance, dashboard standards, and analytics development methodologies
  • ·         Prioritize analytics initiatives aligned to business value and operational impact
  • ·         Lead and develop analytics engineering and BI resources
  • ·         Partner with business leaders to identify opportunities for operational improvement through analytics and insight generation
  • ·         Monitor analytics adoption, usage, and effectiveness to ensure measurable business value

Qualifications:

•           Bachelor’s degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field

•           8+ years of experience in analytics, business intelligence, reporting

•           3+ years of leadership experience

•           Proven experience building enterprise analytics programs, KPI frameworks, and reporting capabilities

•           Strong experience with Power BI or similar enterprise BI platforms

Skills and Abilities:

•           Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments

•           Experience implementing self-service analytics programs

•           Familiarity with Azure data and analytics technologies

•           Experience supporting operational performance management and forecasting initiatives

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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